Abstract:

In an SAR imaging matching position system applied to the last-stage guidance of aircraft, the weight average method is used to fuse multi-template matching position data commonly. But the continuity and relativity are ignored among the adjacent different imaging matching position informations, and some invaluable informations are wasted. The current method limits the position precision. In order to resolve the problem, a novel data fusion method called temporal-spatial-united data fusion (TSU-DF) is proposed. The method fuses the associated data which are mined in the position results, in other words, the TSU-DF fuses all the template position data in a single matching position firstly, and then fuses the different time point positions given by the radar imaging matching system. The simulation results show that the proposed method can improve the last-stage guidance position precision.